Задачи:
— Разрабатывать и поддерживать автотесты для ядра и бизнес-модулей платформы In.Plan
— Автоматизировать backend, UI и интеграционные тесты
— Интегрировать и поддерживать запуск автотестов в CI/CD
— Участвовать в развитии и совершенствовании процессов TestOps
Требования:
— От 3 лет опыта в автоматизации тестирования
— Уверенное владение Java (также рассматривается Python / TypeScript)
— Опыт разработки и поддержки фреймворков автоматизации
— Практический опыт работы в продуктовых командах
— Опыт с GitLab CI/CD, настройка и автоматизация запуска тестов в пайплайнах
— Знание REST Assured, Retrofit, Postman / Insomnia
— Опыт работы с Selenium, Selenide, Playwright
— Опыт с JUnit / TestNG / Pytest
— Понимание и применение Page Object / Page Factory
— Работа с Allure и системами тестовой отчётности
— Базовые навыки SQL / PostgreSQL
— Опыт работы с Git, GitFlow, проведение MR и code review автотестов
— Опыт внедрения и развития процессов TestOps
Будет плюсом:
— Высшее техническое образование и/или сертификаты ISTQB, ISTQB Test Automation Engineer
— Опыт настройки инфраструктуры для автоматизации тестирования
— Тестирование Kafka и асинхронных интеграций
— Опыт работы с ClickHouse
— Docker и контейнеризация автотестов
— Интеграция с TMS и настройка уведомлений
Условия:
— До конца года с возможностью продления
— Полная занятость
— Удалённо
— График МСК ± 2 часа
Задачи:
— Определять общую стратегию автоматизации и выбирать подходящие инструменты в соответствии с техническим стеком клиента.
— Писать, поддерживать и оптимизировать сложные end-to-end (E2E) интеграционные и регрессионные тесты.
— Сотрудничать с разработчиками и менеджерами продуктов для определения критериев "Definition of Done" и обеспечения тестируемости на этапе проектирования.
— Выявлять, документировать и отслеживать дефекты программного обеспечения, тесно взаимодействуя с командой разработки для быстрого их устранения.
— Быть "евангелистом качества" в команде, проводить код-ревью тестовых скриптов и делиться лучшими практиками автоматизированного тестирования.
Требования:
— Опыт автоматизации тестирования не менее 5 лет с глубокими знаниями современных фреймворков, таких как Playwright, Cypress или Selenium.
— Умение писать чистый и поддерживаемый тестовый код на TypeScript/JavaScript, Python или Java.
— Подтвержденный опыт создания и масштабирования фреймворков автоматизации с нуля (Page Object Model, Screenplay Pattern и др.).
— Широкий опыт тестирования RESTful и GraphQL API с использованием Postman, SuperTest или RestAssured.
— Практический опыт интеграции автоматизированных тестов в CI/CD пайплайны с помощью GitHub Actions, GitLab CI или Jenkins.
— Опыт мобильной автоматизации с Appium или Maestro является значительным преимуществом.
— Знание инструментов нагрузочного тестирования, таких как k6 или JMeter, для выявления узких мест системы.
— Нахождение в часовом поясе CET (+/- 3 часа), кандидаты из других часовых поясов не рассматриваются.
Желательно:
— Знание Docker для контейнеризации тестовых сред.
— Опыт с инструментами визуального регрессионного тестирования (Percy, Applitools).
— Знакомство с облачными платформами тестирования (BrowserStack, Sauce Labs, AWS Device Farm).
— Опыт в области тестирования безопасности (принципы OWASP).
Условия:
— Своевременные ежемесячные выплаты с гибкими опциями вывода средств.
— Предсказуемый график работы: стабильные 8-часовые рабочие дни.
— До 24 оплачиваемых дополнительных выходных дней в год для полноценных позиций.
— Долгосрочные удалённые позиции в передовых компаниях.
— Персонально подобранные вакансии без типичных рекрутинговых барьеров.
— Единый процесс заключения контрактов для множества возможностей без дополнительных оценок.
— Стабильная оплата каждый месяц при трудоустройстве через Proxify.
Заказчик — крупный российский ритейлер.
Проект связан с масштабной миграцией инфраструктуры и приложений в Yandex Cloud: перенос Kubernetes-приложений со старых версий Kubernetes, миграция виртуальных машин и баз данных, а также перевод CI/CD-процессов с Bamboo на GitLab CI.
Работа ведётся в команде заказчика под руководством проектного менеджера.
Обязательные требования
— Не менее 3 лет коммерческого опыта в направлениях DevOps, SRE или Platform Engineering.
— Практический опыт работы с сервисами Yandex Cloud: Compute Cloud, VPC, Managed Service for Kubernetes, Object Storage, а также с managed-сервисами баз данных.
— Уверенное владение Kubernetes и Helm.
— Опыт адаптации приложений — перенос решений со старых версий Kubernetes на актуальные.
— Навыки работы с Terraform либо OpenTofu, в том числе с готовыми IaC-модулями.
— Знание особенностей устаревания (deprecation) API Kubernetes, включая типовые сложности при миграции с Kubernetes 1.11.
— Опыт разработки и поддержки CI/CD-пайплайнов в GitLab.
— Опыт переноса CI/CD-процессов из Bamboo или схожих систем.
— Практические навыки Linux-администрирования, настройки виртуальных машин и сетевых параметров.
— Опыт миграции баз данных — в частности, PostgreSQL, MySQL либо других СУБД, задействованных в проекте.
— Способность следовать установленным шаблонам и инженерным стандартам, а также фиксировать изменения в документации.
— Готовность к работе в команде заказчика под руководством проектного менеджера.
Дополнительные требования
— Практический опыт работы с Yandex Managed Service для PostgreSQL, MySQL, Redis и Kafka.
— Навыки применения GitOps-инструментов Argo CD, FluxCD.
— Опыт использования Container Registry.
— Владение Helmfile и Kustomize.
— Опыт переноса legacy-приложений и миграции устаревших Kubernetes-кластеров.
— Участие в крупных миграционных проектах с параллельными потоками работ.
Задачи на проекте
Подготовка к миграции
— Изучение существующих шаблонов развёртывания: Terraform-модулей, Kubernetes-манифестов, Helm-чартов, GitLab CI-шаблонов и эксплуатационных инструкций.
— Техническая инвентаризация переносимого приложения или компонента: контейнеры, зависимости, конфигурация, секреты, хранилища, БД, сетевые взаимодействия.
— Оценка технической готовности компонентов к переносу и выявление отклонений от типовых шаблонов.
— Согласование выявленных технических блокеров и нестандартных решений с представителями заказчика.
Миграция Kubernetes-приложений
— Подготовка приложений, работающих в Kubernetes 1.11, к развёртыванию в целевом Kubernetes-кластере Yandex Cloud.
— Адаптация манифестов, Helm-чартов и иных deployment-конфигураций под актуальную версию Kubernetes и принятые на проекте шаблоны.
— Устранение использования устаревших Kubernetes API и несовместимых параметров конфигурации.
— Настройка параметров приложений: ConfigMap, Secret, Ingress, Service, PersistentVolumeClaim, resource limits/requests, probes и других необходимых сущностей.
— Выполнение развёртывания и технической проверки работоспособности в согласованных окружениях.
— Подготовка технических процедур отката в рамках принятого процесса релизов.
— Переключение сервисов в новое окружение.
Перенос ВМ и сервисных компонентов
— Перенос прикладных компонентов с on-premise ВМ в Yandex Cloud с использованием существующих шаблонов и подходов проекта.
— Развёртывание и настройка целевых ВМ, если компонент не переводится в managed-сервис.
— Перенос баз данных и сервисных компонентов в определённые заказчиком managed-сервисы Yandex Cloud либо на целевые ВМ.
— Миграция данных по утверждённой процедуре.
— Техническая валидация: доступность сервиса, сетевые соединения, корректность конфигурации, целостность данных и запуск приложений.
Трансформация с Bamboo на GitLab CI
— Анализ действующих Bamboo-планов конкретных переносимых приложений.
— Перенос логики сборки, тестирования, упаковки и деплоя в GitLab CI.
— Использование существующих на проекте GitLab CI-шаблонов и общих компонентов пайплайнов.
— Настройка передачи артефактов, кэширования, переменных окружения и правил запуска jobs в соответствии с принятыми стандартами проекта.
— Настройка деплоя в согласованные окружения и механизма отката, предусмотренного действующим процессом.
— Проверка пайплайнов на тестовом и целевом окружениях.
Документирование и передача результатов
— Ведение технической документации по каждому перенесённому компоненту.
— Фиксация отклонений от шаблонных решений, принятых workaround'ов и известных ограничений.
— Подготовка инструкций по запуску миграции, валидации, деплою и откату.
— Участие в технических статус-встречах, предоставление актуального статуса и информации о блокерах проектному менеджеру заказчика.
Задачи:
— Проектировать, писать и поддерживать высококачественный Apex код, пользовательские интерфейсы на LWC и асинхронные backend-фреймворки.
— Архитектурно строить безопасные двунаправленные интеграции между Salesforce и сторонними корпоративными платформами (SAP, HubSpot, BigQuery) с использованием REST/SOAP API и middleware.
— Профилировать логи выполнения, оптимизировать сложные обработчики триггеров и рефакторить неэффективный legacy-код для обеспечения быстрой загрузки страниц и стабильной обработки больших объемов данных.
— Управлять развертываниями с использованием Salesforce CLI и Git-ориентированных CI/CD пайплайнов, обеспечивая безопасное управление sandbox-средами и предсказуемость релизов.
— Сотрудничать с архитекторами Salesforce, бизнес-аналитиками и владельцами продуктов для трансформации бизнес-требований в масштабируемые технические решения.
Требования:
— Опыт разработки 5+ лет с Salesforce Sales Cloud и Service Cloud.
— Экспертное владение Apex (классы, триггеры, batch jobs, queueables) и Lightning Web Components (LWC).
— Продвинутые знания SOQL и SOSL, умение проектировать масштабируемые модели данных (custom objects, junction objects, big objects) и оптимизировать запросы для предотвращения ошибок governor limits.
— Опыт построения, потребления и защиты внешних веб-сервисов через REST/SOAP API, Named Credentials, OAuth2, Pub/Sub API, MuleSoft.
— Знание enterprise design patterns в Apex (Trigger Frameworks, Service Layer, Selector Layer, Domain Layer) и умение анализировать trade-offs между декларативным и программным подходами.
— Опыт работы с Salesforce CLI, source-driven development (SFDX), Git workflows, unit testing с покрытием >85%, CI/CD инструментами (Copado, Gearset, GitHub Actions).
— Активные сертификаты Salesforce Platform Developer I & II (PD1 / PD2) предпочтительны.
— Свободное владение английским языком.
— Локация в часовом поясе CET (+/- 3 часа).
Желательно:
— Опыт с Salesforce CPQ, OmniStudio (Vlocity), Experience Cloud.
— Сертификаты Data Architecture & Management Designer или Integration Architecture Designer.
— Знакомство с Data Cloud (CDP), CRM Analytics (Tableau CRM/Einstein Analytics), AI функциями (Agentforce/Einstein 1).
— Опыт миграции Visualforce и Aura компонентов в LWC.
Условия:
— Своевременные ежемесячные выплаты с гибкими опциями вывода.
— Предсказуемый график работы 8 часов в день.
— До 24 оплачиваемых гибких дней отпуска в год.
— Долгосрочные удалённые позиции в ведущих компаниях.
— Персонально подобранные вакансии без типичных рекрутинговых барьеров.
— Единый процесс контрактации для множества возможностей без дополнительных оценок.
— Стабильная оплата каждый месяц.
Algolia is a market leader in AI Search, serving over 18,000 businesses and processing over 30 billion search requests weekly. The company raised $150 million in Series D funding in 2021, reaching a valuation of $2.25 billion. The Customer Success Engineer role involves ensuring customers successfully adopt, implement, and scale Algolia's search and discovery platform. Responsibilities include delivering technical onboarding, solution design, best-practice guidance, and hands-on implementation support. The role requires partnering with customers to design scalable solutions, supporting Professional and Expert Foundation offerings, acting as a Technical Owner for assigned accounts, and ensuring smooth delivery through communication, documentation, and stakeholder alignment. Key tasks include consulting customers, delivering technical workshops, advising on search implementation and optimization, collaborating with Customer Success Managers, escalating issues as needed, partnering with Product and Engineering teams, reporting case status, identifying and resolving technical risks, and optimizing customer environments.
Requirements:
— 4+ years in a customer-facing technical role (CSE, SE, SA, consultant), preferably in SaaS
— Functional knowledge of at least one programming language: JavaScript, Java, PHP, C#, Objective-C, Swift, Ruby, Python
— Experience with REST API, database management, and web development technologies
— Experience delivering technical workshops (training, knowledge transfer, implementation, code review)
— Lifelong learning and growth mindset
— Ability to explain complex technical concepts to broad audiences
— Proficiency in communicating technical issues to technical and non-technical audiences via phone and email
— Excellent time management, task prioritization, and situational urgency evaluation
— Occasional travel to customer locations may be required
Nice to have:
— Experience implementing or optimizing search & discovery experiences
— Experience designing and developing generative AI and agentic applications
— Experience in high-growth SaaS environments
— Familiarity with iOS & Android platforms
— Experience supporting open-source projects and GitHub communities
— Experience with Shopify, Magento, and Salesforce
Algolia offers a flexible workplace strategy with options for fully remote or hybrid-remote work. The company values grit, trust, candor, care, and humility. Algolia is committed to diversity, inclusion, and creating a respectful workplace. Candidates are advised to apply only through the official careers page and be cautious of recruitment scams.
Location: Vienna, Austria
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
READY TO BUILD THE FUTURE OF MOBILE APP MONITORING?
This is no ordinary engineering role. At Sentry, our Mobile SDK team creates the next generation of tools for developers worldwide, processing over a billion events every single day. We're looking for a talented Senior iOS SDK Engineer to join our team of experts.
You'll dive deep into Apple's most advanced technology, from powerful new APIs and SwiftUI to Foundation Models. If you love using cutting-edge tech to solve complex challenges, you've found your team.
WHAT YOU WILL ACHIEVE IN THIS ROLE
As the owner of our iOS SDK, you will guide its development from the core architecture to the final product experience. You'll pioneer exciting new features like Session Replay and next-generation performance monitoring, all while mastering Apple's latest innovations like modern concurrency and on-device AI.
You will design robust, high-quality APIs built to handle massive scale, and you'll get to shape the overall vision for mobile at Sentry. Ultimately, you will be the go-to expert, helping our teams solve the most complex and interesting customer challenges.
WHY YOU WILL LOVE THIS ROLE
We're looking for someone who is passionate about their craft and loves building elegant, intuitive tools that other developers are excited to use. You'll have the chance to contribute full-time to a major open-source project and see the immediate impact of your work in our fast-paced environment.
You will be surrounded by thoughtful, collaborative engineers who are dedicated to a culture of excellence, constantly pushing each other to learn, grow, and produce their best work.
QUALIFICATIONS
- 5+ years of professional experience as a Software Engineer, with a strong focus on mobile platforms, and ideally in SDK development and/or developer tooling
- Deep experience developing for the iOS platform using Swift and Objective-C
- A strong understanding of mobile architecture, patterns, and best practices
- Experience leveraging AI-powered development tools to enhance productivity and code quality
- Excellent written and spoken English communication skills
- Well-organized with a high level of attention to detail and accuracy
- You live in the Vienna area or are willing to relocate for this incredible opportunity
BONUS POINTS
- Knowledge of the app monitoring and observability space
- Familiarity with low-level programming (C/C++)
- A track record of maintaining or contributing to open-source libraries
- Experience with other mobile platforms or frameworks (Android + Kotlin/Java, React Native + JavaScript/TypeScript, Flutter + Dart)
We are obliged by law to quote the minimum wage of EUR 60,844,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The salary that Sentry offers you is adjusted to the current market situation and will be above the IT-KV.
A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder led, profitable and growing.
Product marketers at Canonical sit between product and the market. They take deeply technical open source products and decide what they mean to a user and a buyer; which problem they solve, who should care, why we win, and what it should cost. That work shows up as positioning and messaging, launch plans, competitive intelligence, global campaigns, and the enablement that helps sales tell a coherent story.
This is a role for someone who wants ownership rather than a brief. You will pick up a portfolio area, form your own point of view on the market, and defend it with evidence. We expect product marketers to talk to customers and community members directly, and to bring opinions to product and sales rather than waiting to be told what to say.
We have a bias for action, focus effort on the most impactful activities, and take ownership of our results. We work across long buying cycles, balance storytelling with data, design experiments, track outcomes, and iterate rapidly to find what works.
Location: This role is remote for anyone based in EMEA.
The role entails
You will own product marketing for one of our product areas, from the market thesis through to the assets that sales and campaigns run on. You will be accountable for whether the story lands, whether launches convert, and whether the sales team can repeat the message without you in the room.
You will:
Own positioning, messaging, and the narrative hierarchy for your product area, and keep it consistent from the website through to the sales deck
Lead product launches end to end with tiering, timeline, cross-functional plan, assets, and post-launch reporting
Build and maintain the competitive picture for your area: who we lose to, why, and what we say about it
Support building the enablement that sales actually uses: battlecards, discovery questions, objection handling, demo narratives
Run structured customer and community research, including win-loss, to keep the messaging grounded in real language rather than internal assumptions
Partner with demand generation, content, web, and events to turn positioning into campaigns that move pipeline
Raise the standard of the craft around you through review, mentoring, and shared frameworks
What we are looking for in you
Strong written and verbal communication in English
An exceptional academic track record from high school and university
Proven product marketing experience in B2B software, SaaS, or open source
A track record of owning positioning and messaging for a product or portfolio, not just executing someone else's
Evidence of launches you led that changed a business outcome such as adoption, pipeline, or win rate
The technical curiosity to hold your own with product managers and engineers and to understand the product beyond the datasheet
Comfort using data to test a hypothesis, evaluate a campaign, and change your mind
Ability to influence and align stakeholders across product, sales, and marketing without formal authority
Excellent storytelling skills applied to technical solutions, for both developer and executive audiences
Skill at managing complex, cross-functional projects with several dependencies and a fixed date
Fast adaptation to change and to new technology in marketing
Proactive, outcome-driven, and confident operating independently at a global scale
Nice-to-have skills
Experience marketing to developers, or in infrastructure, security, or IoT categories
Familiarity with open source communities and commercial open source business models
Experience across both product-led and sales-led motions, and with the handover between them
Public speaking, webinars, or conference presence in a technical field
Experience mentoring or leading other product marketers
What we offer you
Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilization. Our compensation philosophy is to ensure equity right across our global workforce.
In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner.
🏠Fully remote working environment - we’ve been working remotely since 2004!
📚Personal learning and development budget of 2,000 USD per annum
💰Annual compensation review
🏆Recognition rewards
🏝 Annual holiday leave
👶Parental Leave
🧑💼Employee Assistance Programme
🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Задачи:
— Проектировать и разрабатывать multi-agent системы.
— Интегрировать LLM с внутренними инструментами и сервисами.
— Разрабатывать backend-сервисы и API для agent workflows.
— Реализовывать RAG pipelines и tool/function calling.
— Создавать CLI-based agent workflows и инструменты автоматизации.
— Разрабатывать Computer Vision pipelines: object detection, multi-object tracking, person re-identification.
— Разрабатывать multi-camera multi-person tracking для сетей камер.
— Работать с видеопотоками в реальном времени и оптимизировать GPU inference.
Требования:
— Опыт работы с Node.js ecosystem и Express.js.
— Уверенное владение Python.
— Опыт работы с LLM APIs и prompt engineering.
— Опыт работы с RAG, tool calling или agent frameworks.
— Знакомство с Docker, Linux и Git.
— Опыт работы с PyTorch и OpenCV.
— Опыт в object detection и multi-object tracking.
— Опыт работы с YOLO, ByteTrack / BoT-SORT или аналогами.
— Понимание person re-identification и vector search.
— Опыт работы с Milvus / FAISS.
— Опыт обработки видео с ffmpeg / GStreamer.
— Работа с RTSP и hardware decoding.
Будет плюсом:
— Опыт в NLP и ML.
— Опыт развёртывания open-source LLM.
— Опыт оптимизации inference.
— Опыт работы с Vision-Language Models.
— TensorRT / ONNX Runtime.
Условия:
— Удалённый формат работы.
— Заработная плата: 1.600–3.200 USD net в месяц.
About PFM
Prop Firm Match Global FZCO is a platform for discovering, comparing, and selecting top proprietary trading firms. The team is fully remote and values ownership, clear communication, and practical impact.
About the department
Customer Experience team supports traders with issues, questions about firms, promotions, loyalty rewards, and payouts via Intercom, Discord, and email, ensuring fast and quality responses.
About the role
Deliver timely, accurate, and empathetic support enabling traders to confidently use Prop Firm Match while maintaining trust with customers and partner firms.
Performance objectives
Objective 1 - Deliver exceptional customer experience:
— Respond to customer inquiries across Intercom tickets, Discord, and email.
— Review and resolve customer issues end to end.
— Tailor tone and approach to each customer's situation without sacrificing accuracy.
Objective 2 - Maintain operational excellence:
— Prioritize incoming tickets and follow established workflows.
— Document cases and keep customer records up to date.
— Escalate issues to the right team when outside scope.
Objective 3 - Ensure information accuracy:
— Verify offers, promo codes, and loyalty program submissions before responding.
— Stay current on firm rules, payout information, and policies.
— Keep FAQs and internal documentation accurate and current.
Objective 4 - Support continuous improvement:
— Report bugs and flag recurring issues to Product and Development.
— Suggest workflow improvements.
— Contribute to knowledge base updates and AI training data.
What we look for
Must have:
— Minimum 2 years of customer support or client-facing experience, ideally remote and high-volume.
— Strong written communication, clear and empathetic to non-technical customers.
— Hands-on experience with Intercom or similar helpdesk/ticketing platform.
— High attention to detail verifying specifics before responding.
— Strong time management to meet response and handling time targets without sacrificing quality.
— Comfortable investigating and troubleshooting independently before escalating.
— Professional, accountable, collaborative, works well across teams without heavy oversight.
— Available to work CET-aligned hours in a fully remote, async-first environment.
Nice to have:
— Familiarity with proprietary trading firms or prop trading industry.
— Experience using AI-assisted support tools (e.g., Intercom Fin AI).
— Experience managing or responding to public reviews (e.g., Trustpilot).
— Background in fintech, SaaS, or fast-paced digital consumer platforms.
Compensation
Up to $800 - $1,300 USD per month gross.
Location & work setup
Remote worldwide with strong overlap with CET hours.
Full-time employment.
Hiring stages
— Application screening
— Video intro + role fit questionnaire (async)
— Discovery HR interview
— Real-world task based on PFM support scenarios
— Professional interview with Head of Customer Experience
— Peer & values conversation
— Informal conversation to align expectations
— Formal written offer
— Reference check before formal offer
Additional notes
Candidates not meeting every qualification but confident in excelling are encouraged to apply.
Equal opportunity employer welcoming diverse backgrounds.
Familiarity with prop trading industry and PFM mission is valued.
Candidates with experience in related areas like trading operations, customer success, compliance, support, partnerships are invited to join Talent Pool for future roles.
Role Purpose
The Head of Partnerships is responsible for the strategic leadership, direction, and management of Bravo Networks' partnership portfolio. The role ensures the development, optimisation, and performance of key partner relationships, delivering sustainable value to the network, its members, and wider stakeholders. Operating as a senior representative of Bravo Networks, the Head of Partnerships will lead the commercial and strategic engagement with insurer and service provider partners, ensuring contractual commitments are delivered, opportunities for growth are maximised, and relationships are managed effectively at all levels. The role combines strategic leadership, commercial management, data-driven insight, and stakeholder engagement to support the achievement of Bravo's business objectives.
Key Responsibilities
Develop and execute the partnerships strategy in line with Bravo Networks' overall business objectives.
Identify opportunities to enhance partner performance, strengthen commercial relationships, and drive mutual growth.
Represent Bravo Networks at a senior level with insurers, service providers, and strategic partners.
Act as a trusted advisor and relationship lead across the partnership portfolio.
Relationship Management
Lead and maintain senior-level relationships across all partner accounts.
Establish regular governance and engagement frameworks to ensure effective communication and collaboration.
Manage complex stakeholder relationships, balancing the needs of partners, members, and the wider Bravo business.
Resolve commercial or operational challenges through effective negotiation and stakeholder management.
Commercial and Contract Management
Lead the development, negotiation, and management of partnership agreements and commercial frameworks.
Ensure all contractual obligations, service commitments, and performance measures are clearly defined and achieved.
Work closely with Bravo and insurer market teams to maximise the effectiveness and value of partnership arrangements.
Identify opportunities for enhanced commercial return and strategic value creation.
Performance and Data Insight
Oversee the collection, analysis, and interpretation of partnership performance data.
Produce meaningful commercial insights and recommendations to support strategic decision making.
Monitor partner performance against agreed objectives, contractual commitments, and key performance indicators.
Utilise market intelligence and performance data to identify trends, risks, and opportunities.
Collaboration and Stakeholder Engagement
Work collaboratively with the wider Bravo leadership team, insurer market teams, operations, finance, and other key stakeholders.
Good collaboration required across the Distribution and Services Team
Ensure alignment between partnership objectives and wider business priorities.
Support business development initiatives and market-facing activities where partnership engagement is required.
Promote a culture of collaboration, transparency, and continuous improvement.
Governance and Risk Management
Ensure robust governance processes are in place across the partnership portfolio.
Monitor compliance with contractual, regulatory, and company requirements.
Identify and manage commercial, operational, and reputational risks relating to partnership arrangements.
Maintain accurate reporting and oversight of partnership activity and outcomes.
Key Accountabilities
Delivery of the Bravo Networks partnership strategy.
Management and performance of partner relationships and commercial agreements.
Achievement of partnership revenue, growth, and value targets.
Delivery of contractual commitments and service standards.
Production of meaningful data analysis, reporting, and performance insights.
Effective stakeholder engagement across internal and external audiences.
Identification and delivery of strategic partnership opportunities.
Knowledge, Skills and Experience
Essential
Significant experience in partnership, insurer, supplier, or relationship management within insurance or financial services.
Strong commercial and negotiation skills.
Experience managing senior stakeholder relationships.
Proven ability to analyse and interpret complex data and performance information.
Experience developing and managing contractual and commercial frameworks.
Strong communication, presentation, and influencing skills.
Ability to operate strategically while maintaining operational oversight.
Ability to travel for Partnership meetings and events.
Mainly London.
Desirable
Existing knowledge of insurance distribution, broker networks, or affinity arrangements.
Experience leading strategic partnership programmes.
Understanding of regulatory and governance requirements within financial services.
Leadership Behaviours
Builds trusted and credible relationships.
Thinks strategically and acts commercially.
Delivers results through collaboration and influence.
Uses insight and data to drive decision making.
Challenges constructively and seeks continuous improvement.
Demonstrates integrity, accountability, and professionalism.
Represents Bravo Networks positively and effectively both internally and externally.
О проекте
Промышленная видеоаналитика. Ядро уже работает - детекция, трекинг, распознавание лиц, детектор СИЗ, API и веб-интерфейс. Нужно довести систему до продакшн внедрения.
Задачи:
- Довести распознавание лиц до измеримого качества: разметка, калибровка порогов, метрики FAR/FRR
- Устойчивое отслеживание
- Оптимизация производительности пайплайна под CPU-only сервер для оффлайн обработки
- Обучение и дообучение детекторов на собственных данных, организация разметки
Требования
- Уверенный Python + Go, опыт с ONNX/ONNX Runtime (экспорт, opset, оптимизация latency на CPU, а не GPU serving)
- Опыт с YOLO
- Face detection/recognition пайплайны (детектор + embedding + порог по cosine similarity)
- Опыт с OpenCV DNN/Zoo моделями плюс
- Object tracking (IoU/ByteTrack-подобные трекеры, multi-object tracking metrics, ID switches)
Location: United States; Canada
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
As the Senior Director of Solutions Architecture for the Americas at Cohere, you will own the US and Canada commercial Solutions Architecture function. You will lead the team that turns enterprise interest in agentic AI into deployed, production systems, and you will be accountable for the technical win in the most competitive AI market in the world. The United States and Canada are our largest commercial opportunity, and this seat owns how we win them.
You will take an established, distributed team of strong technical people and raise what it can do — setting the bar and establishing the operating rhythm that lets a team of generalists run consistent, industry-fluent plays at enterprise scale. You will set direction for the function, sit on the Solution Architecture leadership team alongside the regional leaders for EMEA and Asia Pacific, and contribute to company-wide decisions with your peers across Sales, Product and Engineering.
IN THIS ROLE, YOU WILL:
- Lead and Scale the Organization: Build, coach and develop a high-performing Solutions Architecture organization across the US and Canada, and grow the senior technical talent within it.
- Own the Technical Win: Be personally accountable for the technical outcome of the region’s most strategic pursuits, and be in the room for the ones that decide the year.
- Own the US Market: Lead how Cohere positions, proves and sells into US enterprises — our largest commercial opportunity, and the market this seat is measured on.
- Extend Our Reach: Grow the share of the region’s pipeline the team is technically leading, and make sure we are engaged early on the opportunities that matter most.
- Own the Number with Sales: Partner with regional Sales leadership as a co-owner of the region’s number, not as a support function to it.
- Set Direction for the Function: Define the vision, strategy and operating model for Americas Solutions Architecture, and hold your leaders accountable for delivery and execution against it.
- Build Repeatable Solution Practices: Establish scalable solution-selling methodologies, industry playbooks, executive narratives, business cases and technical delivery frameworks that improve consistency and win rates.
- Architect Enterprise AI Solutions: Guide customers in designing secure, scalable, production-ready agentic AI solutions across cloud, hybrid, VPC and on-premises environments.
- Shape Product Direction: Partner closely with Product and Engineering to translate customer feedback and market needs into platform improvements and roadmap priorities.
- Attract Talent to Cohere: Bring senior technical field talent with you and continue to attract it. Building the bench is part of the job, not a consequence of it.
KEY RESPONSIBILITIES:
- Lead and develop the Americas commercial Solutions Architecture team through coaching, hiring, performance management and career development.
- Partner with regional Sales leadership to pursue and close strategic enterprise opportunities across financial services, healthcare, energy, technology and other key verticals.
- Own the region’s technical coverage model, and ensure the team is engaged early and consistently on the opportunities that matter most.
- Lead executive workshops, discovery sessions, solution presentations and technical deep dives with C-suite and senior customer stakeholders.
- Develop business cases, solution architectures, implementation roadmaps and technical proposals that align customer objectives with Cohere’s platform.
- Guide customers through the deployment of enterprise AI solutions, ensuring scalability, security, governance and operational readiness.
- Create repeatable solution assets, industry playbooks and best practices that enable the team to consistently deliver high-quality customer engagements.
- Collaborate cross-functionally with Product, Engineering, Sales and Customer Success to ensure alignment between customer needs and platform evolution, and contribute to decisions that reach beyond your own function.
- Serve as the voice of the field by capturing customer feedback and competitive insights that influence product strategy.
- Own and report on the region’s operational and commercial metrics, including technical win rates, pipeline health, coverage and team performance.
WHAT WE’RE LOOKING FOR:
- Leadership Experience: 15+ years in Solutions Architecture, Solutions Engineering, Technical Consulting or Enterprise Architecture, including 7+ years leading customer-facing technical teams, and a record of developing people into senior and leadership roles.
- People Leadership: A proven record of hiring, coaching and developing high-performing Solutions Architecture or Solutions Engineering teams, and of building or transforming an organization rather than inheriting a healthy one.
- Executive Presence: You command a room. You are credible in front of a CEO and their business leaders, the people who own the problem and the budget, and equally credible in front of a Chief Information Officer, a Chief AI Officer or a Chief Information Security Officer. You can move between the business case and the architecture without losing either audience.
- Hands-On Technical Credibility: You are technical enough to be believed by a strong engineering bench. You work with models and agents yourself, you can pressure-test your team’s architecture, and you can be the most useful person in a design conversation when it matters. This is a player-coach seat, not an overlay.
- Commercial Acumen: A demonstrated ability to partner with enterprise Sales leadership, influence strategic deals, and articulate business value to executive stakeholders. You have carried a number and can point to deals you personally moved.
- Consulting Mindset: Experience leading complex enterprise solution engagements, developing business cases, implementation plans and executive-ready recommendations.
- Technical Expertise: A strong understanding of modern AI architectures, including large language models, agentic systems, retrieval, enterprise integrations, cloud platforms, hybrid and on-premises deployments, security and governance.
- Enterprise Experience: Experience designing and delivering enterprise technology solutions in complex, regulated or large-scale environments.
- Cross-Functional Influence: A record of contributing to decisions beyond your own function, and of working effectively with Product and Engineering leadership.
PREFERRED QUALIFICATIONS:
- Experience building or turning around a regional technical field organization, and evidence of what changed as a result.
- Background in enterprise AI, cloud, or data platform companies, or applied AI consulting organizations.
- Experience supporting customers in regulated industries such as financial services, healthcare, energy, or the public sector.
- Experience building repeatable solution-selling methodologies and helping generalist technical teams operate at a consistently high level.
- A network of senior technical field talent you can attract to Cohere.
- Experience operating in high-growth environments where speed, ownership and cross-functional collaboration are critical.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Компания МТС Банк — одно из ключевых направлений экосистемы МТС, использует современные цифровые решения и развивает технологичные банковские сервисы для В2В и В2С.
Вакансия: IOS-Разработчик (middle уровень) в команду Кредитование в Мой МТС. Развиваются разделы: МТС Флекс, мобильная коммерция, кредитные карты, лимиты на связь, лимиты на покупки и др.
Технологии и стек: Swift, SnapKit, URLSession, REST API, модульная архитектура, Unit-тесты на Quick/Nimble, моки через Cuckoo, автогенерация через Sourcery, SwiftLint.
Задачи:
— участвовать в разработке продуктов
— участвовать в поддержке и расширении функционала
— проводить code-review для постоянного совершенствования
— участвовать в развитии, планировании и PBR
— общаться с архитекторами, аналитиками, тестировщиками, другими разработчиками
— писать unit-тесты
— заниматься рефакторингом существующей кодовой базы
Требования:
— опыт коммерческой разработки клиентских приложений под iOS от 3-х лет
— верстка кодом и понимание работы Autolayout
— понимание устройства Clean архитектур
— понимание и опыт работы с управлением памятью в Swift
— понимание принципов SOLID и опыт их применения
— понимание Objective-C кода на уровне чтения
— понимание нюансов работы с сетевым слоем
— понимание принципов работы Git
— понимание концепции ООП, работы алгоритмов и структур данных
— понимание концепции многопоточности, опыт работы с ней
— понимание принципов работы DI (например, Swinject)
Location: Remote
Who we are
Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.
With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once.
Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love.
If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us.
Hours & location
🌎 While we hire
almost anywhere
in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week.
Preferred locations:
USA
Why this job is exciting
Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The
Code Understanding
team owns the surfaces where that intelligence meets the developer:
Deep Search
, our agentic, multi-step answer engine across an enterprise's entire lineup of codebases,
Query Assist
, turning natural language queries into Sourcegraph query syntax,
Smart Hovers
, concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day.
Most of what makes those surfaces tick is
agent engineering
: a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the
staff ML and agent engineer on Code Understanding
, you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models.
This is a
staff-level role
: we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before.
Concretely, you'll own work like:
Agentic systems.
You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale.
Pragmatic use of evaluations.
Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence.
Models: selection, upgrading, and training.
You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Retrieval and context engineering.
You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable.
Cost and latency.
Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably.
You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work.
📅 Within one month, you will…
Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval.
Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them.
Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next.
Join the team's on-call support rotation.
📅 Within three months, you will…
Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement.
Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them.
Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts.
📅 Within six months, you will…
Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions.
Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before.
Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them.
About you
You are a
staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems
. This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it.
You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship.
You have personally owned a production model lifecycle.
You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version.
You build agents, fluently and opinionatedly.
You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required.
You have strong evaluation judgment.
You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading.
You treat cost and latency as product constraints.
You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model.
You operate autonomously on ambiguous problems.
Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end.
You contribute beyond your domain.
As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives.
You up-level the people around you.
You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job.
You're customer and product-driven.
You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray.
You're pragmatic, not a perfectionist.
You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity.
On the engineering fundamentals:
You're a strong software engineer who can ship production services.
You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there.
You're fluent with agentic coding tools, and you understand and own every line it submits.
You're comfortable in an async-first, multi-service, fast-paced remote environment.
Nice-to-haves:
You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently.
You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production.
Experience with retrieval, ranking, embeddings, or search relevance.
Experience working directly with enterprise customers and translating their needs into a product.
Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency.
Level
📊 This job is an IC4. You can read more about
our job leveling philosophy
in our Handbook.
Compensation
💸
We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an
open and transparent
company, our
compensation philosophy
and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive.
Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone.
💰
The starting salary for the IC4 pay band in each zone is:
Zone 2: $176,000 USD
Zone 3: $132,000 USD
Zone 4: $88,000 USD
📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous
perks & benefits
.
Interview process
Below is the interview process you can expect for this role (you can read more about
the types of interviews
in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all!
We expect the interview process to take 5.5 hours in total.
👋 Introduction Stage
- we have initial conversations to get to know you better…
[30m]
Recruiter Screen
[30m]
Hiring Manager Screen
🧑💻 Team Interview Stage
- we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners…
[60m]
Resume Deep Dive
[60m]
System Design
[60m]
Harden a Code Research Agent Interview
[60m]
Cross-functional team collaboration
/
Values
🎉 Final Interview Stage
- we move you to our final round, where you gain a better understanding of our business and values holistically…
[30]
Leadership
We check references and conduct your background check
Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process.
Learn more about us
You can learn more about what it is like to work at Sourcegraph by reading
our handbook
.
We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our
culture
,
competitive compensation
and
benefits
here.
Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds.
Sourcegraph participates in
E-Verify
for U.S. Employees.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.
This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.
You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments.
RESPONSIBILITIES
Build and Scale the Professional Services Practice
- Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners.
- Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency.
- Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap.
- Identify offerings that drive product expansion, renewals, and long-term customer value.
- Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners.
Drive Strategic Customer Outcomes
- Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains.
- Lead technical discovery and architecture engagements that span enterprise integration layers
- Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design.
- Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform.
- Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions.
- Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met.
Enable Cross-Functional Success
- Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines.
- Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities.
QUALIFICATIONS
REQUIRED
- 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.
- Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries.
- Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments.
- Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns.
- Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security.
- Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance.
- Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority.
- Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization.
- Recognition by enterprise customers as a strategic technical advisor.
BONUS
- Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns.
- Background enabling system integrators, consultancies, or partner ecosystems.
- Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government.
- Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications.
WHAT TO EXPECT
FIRST 30 DAYS
- Onboard to Docker's mission, values, and operating model.
- Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers.
- Build strong partnerships with Product, Engineering, and Sales functions.
- Plug into the team's rhythm of business (standups, reviews, shadow customer engagements).
FIRST 90 DAYS
- Scope, define SOWs, delivery, and oversight of customer service engagements.
- Participate in the creation of reference architectures for key use cases..
- Participate in initiatives to build out and improve the services department's offerings.
ONE-YEAR OUTLOOK
- Successful delivery and oversight of customer service engagements.
- Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices.
- Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.
Docker does not offer visa sponsorship for this role.
Compensation & Equity
Canada: CA$238,000– CA$340,000 + equity
United States: $171,500 – $245,00 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Middle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT NORTH:
North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications.
WHY THIS ROLE?
This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. Our esteemed clients include industry leaders like RBC, Dell, and LG CNS.
We are seeking engineers who deeply care about customers and want to work at the cutting edge of Agentic AI.
IN THIS ROLE, YOU WILL:
- Lead end-to-end deployment of North in private cloud and on-premises environments, including planning, configuration, testing, and rollout.
- Partner with enterprise IT teams to assess infrastructure, security requirements, and data management practices.
- Experiment at a high velocity and with a high level of quality to engage our customers and ultimately deliver solutions that exceed their expectations
- Design and implement deployment strategies tailored to client needs, ensuring compliance with data privacy and security standards.
- Troubleshoot and resolve deployment-related technical issues, providing timely solutions to minimize downtime.
- Travel to customer premises between 20-40%
YOU MAY BE A GOOD FIT IF:
- You have experience with and enjoy working directly with customers
- You have experience deploying enterprise software in private/hybrid cloud environments
- You have proven experience administering large-scale production Kubernetes clusters and expertise with Helm
- Familiarity with DevOps practices, CI/CD pipelines, and tools like Git for version control
- You have strong expertise in cloud infrastructure (Azure, AWS, GCP), networking, and virtualization
- You excel in fast-paced environments and can execute while priorities and objectives are a moving target
- You are fluent in Arabic and English
IT'S A BONUS IF YOU HAVE…
- Familiarity with GPU node orchestration & scheduling
- You understand the intersection of GPU infrastructure, inference systems, Kubernetes, distributed systems, and performance optimization.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
About the Role
As a Customer Success Manager at Abnormal AI, you will serve as the primary liaison between customers and internal teams, focusing on successful onboarding, adoption, and ongoing value delivery. You will build and nurture strong customer relationships, align on business goals, and drive measurable outcomes through best practice adoption and strategic planning. You will proactively identify opportunities and risks to help customers maximize their investment and contribute valuable feedback for product improvements. Your role involves collaboration with cross-functional teams and maintaining customer satisfaction and retention.
Who you are
- Skilled at building trust and maintaining relationships with stakeholders at various organizational levels, including executives
- Action-oriented, analytical, and collaborative in approach to customer success and issue resolution
- Dedicated to delivering measurable customer value and ensuring satisfaction throughout the customer lifecycle
- Strong verbal and written communication skills, comfortable handling both strategic discussions and technical conversations
- Solid technical understanding of SaaS products, including internet technologies, networking, and email security solutions
- Proven track record of driving product adoption and supporting long-term customer growth
What you will do
- Act as the main point of contact for assigned customers, developing strategic relationships and guiding platform adoption and success planning
- Deliver regular business reviews (QBRs/EBRs), clearly communicating ROI and aligning on success metrics to support retention and expansion
- Understand customers’ industries, goals, and challenges to provide tailored recommendations and align internal and external stakeholders on success objectives
- Promote awareness and usage of key platform features, provide ongoing education, and identify opportunities for expanded adoption
- Proactively monitor customer health, manage escalations, and collaborate with Product, Engineering, Support, and Sales teams to resolve issues and share actionable insights
- Maintain expert knowledge of the product roadmap and communicate relevant updates and enhancements to customers
- Coordinate with internal teams to develop and execute customer success plans, addressing risks before they impact engagement or satisfaction
Must Haves
- 5+ years of experience in enterprise SaaS, with at least 3+ years in Customer Success, TAM, or support roles
- Proven ability to manage large customer portfolios and develop long-term relationships, including at the executive level
- Excellent communication, presentation, and organizational skills, capable of managing both strategic and technical conversations effectively
- Strong problem-solving skills and experience resolving escalations while maintaining a positive customer experience
- Proficiency with CRM and case management tools such as Salesforce and Jira
- Technical proficiency related to internet technologies, networking, and email security products
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience
Location: New York, NY (HQ); San Francisco, CA
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
You will be a front-line manager to a group of Account Executives (AEs) who will be hunting, pitching, and closing new business for Ramp. You will be responsible for 1:1 coaching, mentoring, and strategy development, working closely with leaders across Sales, Marketing, Product, and the executive team to drive positive outcomes for this segment. As a key member of the sales leadership team, you will have the opportunity to help build and refine Ramp’s sales development motion.
WHAT YOU'LL DO
- Manage, develop and execute career development and leadership plan for a group of Account Executives and provide daily 1:1 mentoring and coaching
- Set and maintain a high-performing culture and morale by overseeing the daily activities and quota performance management of individual AEs to ensure key performance metrics are met
- Hire and train new AEs on Ramp’s product, buyer personas, competition, and tools through various methods (ie. role-plays)
- Strategize with sales and marketing counterparts on pipeline and prospecting initiatives to meet company objectives
- Build dashboards and report on customer and team performance and forecast to senior leadership
- Improve team output and efficiency over time by optimizing systems and processes
- Build and execute on pipeline with new clients and partners to run the end-to-end sales process
- Establish a library of playbook resources for the AE team
- Partner with Ops to create and polish existing metrics that evaluate the individual and team’s performance
- Represent the AE team cross-functionally with leaders of other departments
WHAT YOU’LL NEED
- Minimum 5 years of quota carrying sales experience as an individual contributor
- Minimum 3 years of experience building and leading successful, high-performing sales teams
- Demonstrated success in fast-paced, results-oriented GTM environments, ideally at SaaS companies, and history of consistently performing above quota in an outbound sales environment
- Passion and excitement for hiring, with a thoughtful approach to team planning and development
- Experience working cross-functionally to build successful top of the funnel activities to drive more pipeline; Strong collaboration and influencing skills demonstrated through excellent communication and presentation skills
- Ability to articulate contractual, technical, and financial value points to customers, including executive leaders
- Proficiency in data analytics tools (ie. Salesforce, Looker, and Excel) and familiarity with email and call automation platforms
- Ability to leverage data to drive decisions, create systems, and identify process improvements to improve efficiency
NICE TO HAVES
- Experience with financial services sales in a full-cycle sales role
- Financial services or Fintech experience at a high-growth startup
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
seniorРоссия
900 – 1 300 $
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